Vertaling en analyse van woorden door kunstmatige intelligentie ChatGPT
Op deze pagina kunt u een gedetailleerde analyse krijgen van een woord of zin, geproduceerd met behulp van de beste kunstmatige intelligentietechnologie tot nu toe:
- hoe het woord wordt gebruikt
- gebruiksfrequentie
- het wordt vaker gebruikt in mondelinge of schriftelijke toespraken
- opties voor woordvertaling
- Gebruiksvoorbeelden (meerdere zinnen met vertaling)
- etymologie
Weighted mean - vertaling naar spaans
 for Beta distribution versus alpha and beta from 0 to 2 - J. Rodal.jpg?width=200 "(Mean - HarmonicMean) for Beta distribution versus alpha and beta from 0 to 2")
![A geometric construction of the three [[Pythagorean means]] of two numbers, ''a'' and ''b''. The harmonic mean is denoted by ''H'' in purple, while the [[arithmetic mean]] is ''A'' in red and the [[geometric mean]] is ''G'' in blue. ''Q'' denotes a fourth mean, the [[quadratic mean]]. Since a [[hypotenuse]] is always longer than a leg of a [[right triangle]], the diagram shows that ''Q'' > ''A'' > ''G'' > ''H''.](https://commons.wikimedia.org/wiki/Special:FilePath/MathematicalMeans.svg?width=200 "A geometric construction of the three [[Pythagorean means]] of two numbers, ''a'' and ''b''. The harmonic mean is denoted by ''H'' in purple, while the [[arithmetic mean]] is ''A'' in red and the [[geometric mean]] is ''G'' in blue. ''Q'' denotes a fourth mean, the [[quadratic mean]]. Since a [[hypotenuse]] is always longer than a leg of a [[right triangle]], the diagram shows that ''Q'' > ''A'' > ''G'' > ''H''.")
Ex: It is shown that different averages, such as the arithmetic mean, the median, the harmonic mean and the geometric mean play an essential role in these investigations.
![log-normal]]) distributions.](https://commons.wikimedia.org/wiki/Special:FilePath/Comparison mean median mode.svg?width=200 "log-normal]]) distributions.")
mezquino
excelente
querer decir
significar
destinar
tener intención de
proponerse
means: medio
by no means: de ningún modo
Definitie
Wikipedia
The sample mean (or "empirical mean") and the sample covariance are statistics computed from a sample of data on one or more random variables.
The sample mean is the average value (or mean value) of a sample of numbers taken from a larger population of numbers, where "population" indicates not number of people but the entirety of relevant data, whether collected or not. A sample of 40 companies' sales from the Fortune 500 might be used for convenience instead of looking at the population, all 500 companies' sales. The sample mean is used as an estimator for the population mean, the average value in the entire population, where the estimate is more likely to be close to the population mean if the sample is large and representative. The reliability of the sample mean is estimated using the standard error, which in turn is calculated using the variance of the sample. If the sample is random, the standard error falls with the size of the sample and the sample mean's distribution approaches the normal distribution as the sample size increases.
The term "sample mean" can also be used to refer to a vector of average values when the statistician is looking at the values of several variables in the sample, e.g. the sales, profits, and employees of a sample of Fortune 500 companies. In this case, there is not just a sample variance for each variable but a sample variance-covariance matrix (or simply covariance matrix) showing also the relationship between each pair of variables. This would be a 3×3 matrix when 3 variables are being considered. The sample covariance is useful in judging the reliability of the sample means as estimators and is also useful as an estimate of the population covariance matrix.
Due to their ease of calculation and other desirable characteristics, the sample mean and sample covariance are widely used in statistics to represent the location and dispersion of the distribution of values in the sample, and to estimate the values for the population.
